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钟尚武
physical
Commits
ca4791ec
Commit
ca4791ec
authored
Sep 09, 2019
by
高雅喆
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用户点击push进linucb;增加首页lin榜单的参数DC
parent
364678fc
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2 changed files
with
26 additions
and
26 deletions
+26
-26
collect_data.py
linucb/views/collect_data.py
+23
-23
topic.py
search/views/topic.py
+3
-3
No files found.
linucb/views/collect_data.py
View file @
ca4791ec
...
...
@@ -331,29 +331,29 @@ class CollectData(object):
else
:
logging
.
warning
(
"unknown type msg:
%
s"
%
raw_val_dict
.
get
(
"type"
,
"missing type"
))
# 用户点击个性化push进linucb
#
elif "type" in raw_val_dict and raw_val_dict["type"] == "on_click_push":
#
if isinstance(raw_val_dict["params"]["tag_ids"], str):
#
tagid_list = json.loads(raw_val_dict["params"]["tag_ids"])
#
elif isinstance(raw_val_dict["params"]["tag_ids"], list):
#
tagid_list = raw_val_dict["params"]["tag_ids"]
#
else:
#
tagid_list = list()
#
device_id = raw_val_dict["device"]["device_id"]
#
user_id = raw_val_dict["user_id"] if "user_id" in raw_val_dict else None
#
if len(tagid_list) > 0:
#
tag_query_results = Tag.objects.using(settings.SLAVE_DB_NAME).filter(
#
id__in=tagid_list, is_online=True, is_deleted=False,
#
is_category=False).values_list("id", flat=True)
#
is_click = 1
#
is_vote = 0
#
reward = 1 if is_click or is_vote else 0
#
for tag_id in tag_query_results:
#
self.update_user_linucb_tag_info(reward, device_id, tag_id, user_feature)
#
self.update_recommend_tag_list(device_id, user_feature, user_id,
#
new_user_click_tag_list=tag_query_results)
#
logging.info("on_click_push topic type:%s, device_id:%s, answer_tag:%s" %
#
(raw_val_dict.get("type", "missing type"), str(device_id),
#
str(tagid_list)))
elif
"type"
in
raw_val_dict
and
raw_val_dict
[
"type"
]
==
"on_click_push"
:
if
isinstance
(
raw_val_dict
[
"params"
][
"tag_ids"
],
str
):
tagid_list
=
json
.
loads
(
raw_val_dict
[
"params"
][
"tag_ids"
])
elif
isinstance
(
raw_val_dict
[
"params"
][
"tag_ids"
],
list
):
tagid_list
=
raw_val_dict
[
"params"
][
"tag_ids"
]
else
:
tagid_list
=
list
()
device_id
=
raw_val_dict
[
"device"
][
"device_id"
]
user_id
=
raw_val_dict
[
"user_id"
]
if
"user_id"
in
raw_val_dict
else
None
if
len
(
tagid_list
)
>
0
:
tag_query_results
=
Tag
.
objects
.
using
(
settings
.
SLAVE_DB_NAME
)
.
filter
(
id__in
=
tagid_list
,
is_online
=
True
,
is_deleted
=
False
,
is_category
=
False
)
.
values_list
(
"id"
,
flat
=
True
)
is_click
=
1
is_vote
=
0
reward
=
1
if
is_click
or
is_vote
else
0
for
tag_id
in
tag_query_results
:
self
.
update_user_linucb_tag_info
(
reward
,
device_id
,
tag_id
,
user_feature
)
self
.
update_recommend_tag_list
(
device_id
,
user_feature
,
user_id
,
new_user_click_tag_list
=
tag_query_results
)
logging
.
info
(
"on_click_push topic type:
%
s, device_id:
%
s, answer_tag:
%
s"
%
(
raw_val_dict
.
get
(
"type"
,
"missing type"
),
str
(
device_id
),
str
(
tagid_list
)))
# 用户点击问题清单进linucb
elif
b
'content'
in
raw_val_dict
:
data
=
json
.
loads
(
raw_val_dict
[
b
'content'
])
...
...
search/views/topic.py
View file @
ca4791ec
...
...
@@ -365,7 +365,7 @@ def query_tag_id_by_topic(offset=0, size=10, topic_id_list=[], user_id=-1):
@bind
(
"physical/search/home_recommend"
)
def
home_recommend
(
device_id
=
""
,
user_id
=-
1
,
offset
=
0
,
size
=
10
,
query_type
=
TopicPageType
.
HOME_RECOMMEND
,
def
home_recommend
(
device_id
=
""
,
user_id
=-
1
,
offset
=
0
,
lin_pictorial_count
=
4
,
size
=
10
,
query_type
=
TopicPageType
.
HOME_RECOMMEND
,
promote_topic_list
=
[],
usefulrecall
=-
1
,
useful_tag_list
=
[],
is_debug
=
False
):
"""
:remark:首页推荐,目前只推荐日记
...
...
@@ -407,7 +407,7 @@ def home_recommend(device_id="", user_id=-1, offset=0, size=10, query_type=Topic
else
:
if
usefulrecall
!=
-
1
and
len
(
useful_tag_list
)
>
0
:
recommend_pictorial_ids
=
get_home_recommend_pictorial_ids
(
user_id
,
device_id
,
4
)
recommend_pictorial_ids
=
get_home_recommend_pictorial_ids
(
user_id
,
device_id
,
lin_pictorial_count
)
size
=
size
-
len
(
recommend_pictorial_ids
)
if
is_debug
:
has_score
=
True
...
...
@@ -443,7 +443,7 @@ def home_recommend(device_id="", user_id=-1, offset=0, size=10, query_type=Topic
"debug_model_data"
:
results
}
else
:
recommend_pictorial_ids
=
get_home_recommend_pictorial_ids
(
user_id
,
device_id
,
4
)
recommend_pictorial_ids
=
get_home_recommend_pictorial_ids
(
user_id
,
device_id
,
lin_pictorial_count
)
size
=
size
-
len
(
recommend_pictorial_ids
)
if
is_debug
:
has_score
=
True
...
...
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